Improving Engine Sound Analysis in Hot-Test Environments via a RAB-U-Net (Residual Attention Block U-Net) Noise Removal Method

The paper introduces a deep learning-based noise removal method called RAB-U-Net to improve the accuracy of engine sound analysis during manufacturing quality control.

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